Grieder Christoph, Hund Andreas, Walter Achim
Institute of Agricultural Sciences, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland.
Funct Plant Biol. 2015 Apr;42(4):387-396. doi: 10.1071/FP14226.
Having a strong effect on plant growth, temperature adaption has become a major breeding aim. Due to a lack of efficient methods, we developed an image-based approach to characterise genotypes for their temperature behaviour in the field. Twenty-nine winter wheat (Triticum aestivum L.) genotypes were continuously monitored at 3-day intervals on a plot basis during early growth from November to March using a modified digital camera. Canopy cover (CC) was determined by segmentation of leaves in calibrated images. Relative growth rates (RGR) of CC were then calculated for each measurement interval and related to the respective temperature. Also, classical traits used in plant breeding were assessed. Measurements of CC at single dates were highly repeatable with respect to genotype. For the tested range of temperatures (0-7°C), a linear relation between RGR and temperature was observed. Genotypes differed for base temperature and increase in RGR with rising temperature, these two traits showing a strong positive correlation with each other but being independent of CC at a single date. Our simple approach is suitable to screen large populations for differences in growth response to environmental stimuli. Furthermore, the derived parameters reveal additional information that cannot be assessed by usual measurements of static size.
温度适应性对植物生长具有强烈影响，已成为主要的育种目标。由于缺乏有效的方法，我们开发了一种基于图像的方法来表征基因型在田间的温度行为。在11月至3月的早期生长期间，使用改良的数码相机，以地块为基础，每隔3天对29个冬小麦（Triticum aestivum L.）基因型进行连续监测。通过校准图像中叶片的分割来确定冠层覆盖度（CC）。然后计算每个测量间隔的CC相对生长率（RGR），并将其与相应温度相关联。此外，还评估了植物育种中使用的经典性状。就基因型而言，单日CC测量具有高度可重复性。在测试的温度范围（0-7°C）内，观察到RGR与温度之间存在线性关系。基因型在基础温度和RGR随温度升高的增加方面存在差异，这两个性状彼此呈强正相关，但与单日CC无关。我们的简单方法适用于筛选大群体对环境刺激的生长反应差异。此外，导出的参数揭示了通过常规静态尺寸测量无法评估的额外信息。
